We confine ourselves to DeepWalk to embed networks, which is a simple and efficient network embedding method. In future work, more advanced embedding methods, such as Node2Vec [1]}, graph neural network [2]}, which may result in more accurate embeddings, could be promising in quantifying network dissimilarity. We deem that our methods can also be generalized to other network types, such as multilayer networks [3]}, temporal networks [4]}, signed networks [5]} and hypergraphs [6]}.
